Description
ICON is seeking a Senior Clinical Data Science Programmer to join our Clinical Systems team. As a senior technical expert, you will be responsible for designing, developing, and delivering clinical data solutions that support global clinical trials. You will lead complex programming and system development activities, translating study requirements into high-quality, compliant, and scalable clinical data solutions.
Responsibilities:
- Design, configure, and maintain clinical data systems and study databases.
- Develop programming solutions supporting data ingestion, validation, extraction, and reporting activities.
- Create data review, risk management, and analytical outputs that support study oversight.
- Translate business requirements into scalable clinical system solutions.
- Act as a technical lead across study builds and complex system enhancements.
- Support customer engagements and provide subject matter expertise on clinical data technologies.
- Ensure high-quality delivery through adherence to SDLC, validation, and quality control processes.
- Mentor junior programmers and contribute to continuous improvement initiatives.
Requirements:
- Bachelor's degree in Computer Science, Data Science, Life Sciences, or a related discipline.
- Significant experience within Clinical Data Science, Clinical Systems, or Clinical Programming.
- Strong experience working with clinical databases, data integration, analytics, or data review platforms.
- Experience using programming languages such as R, Python, SQL, or equivalent technologies.
- Understanding of clinical trial processes, data standards, and regulatory expectations.
- Experience working directly with customers and cross-functional stakeholders.
- Excellent problem-solving, communication, and project coordination skills.
Benefits:
- Competitive base salary and performance-related incentives.
- Health and wellbeing programmes, including medical, dental, and vision coverage where applicable.
- Retirement and pension plans.
- Life assurance and disability coverage.
- Employee assistance programmes and wellbeing resources.
- Learning and development opportunities through structured training and career pathways.